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ONLINE COURSE - Advances In Spatial Analysis Of Multivariate Ecological Data: Theory And Practice

Oliver Hooker 
*ONLINE COURSE ? Advances In Spatial Analysis Of Multivariate Ecological
Data: Theory And Practice (MVSP05) This course is pre-recorded with live
help*



https://www.prstatistics.com/course/advances-in-spatial-analysis-of-multivariate-ecological-data-theory-and-practice-mvsp05/



Instructor - Prof. Pierre Legendre



25th - 28th April 2022



Please feel free to share!



*ABOUT THIS COURSE*

The course will describe recent methods (concepts and R tools) that can be
used to analyse spatial patterns in community ecology. The umbrella concept
of the course is beta diversity, which is the spatial variation of
communities. Researchers in spatial ecology, population genetics and
landscape genetics will find these methods useful as they are applicable to
all types of communities (bacteria, plants, animals) sampled along
transects, regular grids or irregularly distributed sites. The new methods,
collectively referred to as spatial eigen-function analysis, are grounded
into techniques commonly used by community ecologists, which will be
described first: simple ordination (PCA, CA, PCoA), multivariate regression
and canonical analysis, permutation tests. The choice of dissimilarities
that are appropriate for community composition data will also be discussed.
The focal question is to determine how much of the community variation
(beta diversity) is due to environmental sorting and to community-based
processes, including neutral processes. Recently developed methods to
partition beta diversity in different ways will be presented. Extensions
will be made to temporal and space-time data.



*Monday 25th*

Lesson 1: Ordination in reduced space
Section 1.0. Ordination in reduced space: An introduction
Section 1.1. Principal component analysis (PCA)
Section 1.2. Correspondence analysis (CA)
Section 1.3. Principal coordinate analysis (PCoA)
Section 1.4. Metric ordination methods in ecology (included with 1.3)

Practical 1



*Tuesday 26th*

Lesson 2: Dissimilarities and transformations

Lesson 3: Tests of statistical significance

Lesson 4: Linear regression
Section 4.1 Multiple linear regression
Section 4.2 Partial regression and variation partitioning

Practical 2



*Wednesday 27th*

Lesson 5: Canonical analysis

Lesson 6: Beta diversity
Section 6.1. Partitioning beta diversity
Section 6.2. Replacement and richness difference
Section 6.3. Temporal beta diversity

Practical 3



*Thursday 28th*

Lesson 7: Spatial modelling
Section 7.1. Origin of spatial structures in ecology
Section 7.2. Spatial eigenfunction modelling
Section 7.3. Space-time interaction

Lesson 8: Mantel test in spatial analysis

Practical 4



We have already scheduled our FREE course seminars for this course .



https://www.prstatistics.com/course/advances-in-spatial-analysis-of-multivariate-ecological-data-theory-and-practice-mvsp05s/



if you would like access to the recording please email
oliverhooker at prstatistics.com



*https://www.prstatistics.com/free-seminars/*
<https://www.prstatistics.com/free-seminars/>



Please feel free to contact *oliverhooker at prstatistics.com*
<oliverhooker at prstatistics.com> with any questions.



Thanks,



Oliver